1차 v0.3 구현 후 plan-v0.3 와 대조해 발견된 18건 누락/명세 위반을 보강. 자기 리뷰 3 라운드 (누락·미완 / 오류·엣지케이스 / 과최적화) 모두 PASS. PR #5 plan-mode (3건): - BLOCKED_TOOLS_IN_PLAN_MODE 에 write_todos 추가 - /plan 시 system message inject (_PLAN_MODE_SYSTEM_PROMPT) - /approve 시 마지막 assistant 메시지를 "approved plan" system 으로 inject - InteractiveSession._pending_system_messages 인프라 신설 PR #2 compaction (1건): - CompactionResult.summary_text 추가, 다음 thread 첫 ainvoke 에 inject PR #3 auto-memory (6건): - global memory dir + bootstrap - frontmatter name/description/type 정식 도입 + MemoryEntry/MemoryType - _infer_memory_type (keyword heuristic, no LLM) - _scrub_secrets (OpenRouter/Anthropic/OpenAI/AWS/Bearer redaction) - /memory show <name> 서브명령 - /remember [--global] / /forget [--global] 스코프 토글 PR #4 skills (3건): - project_skills_dir + 두 스코프 (global / project) merge with last-wins - /skill <name> 본문 inject (queue_system_message) — 이전엔 REPL 출력만 - /skills show <name> 별도 서브명령 PR #6 sub-agent (4건): - budget.py `session:<uuid>` scope + CostMiddleware 자동 전달 - resolve_root_session_id walk-up (cycle guard) + sub-agent root 에 charge - run_subagent_to_completion 실제 ainvoke + 결과 push to parent - /agents 서브명령 구조 (list / spawn / show) + spawn 시 parent system msg PR #7 governance (1건): - bootstrap_user_dirs — instructions + global/memory + skills + projects 한 호출로 idempotent 부트스트랩 PR #8 Web GUI (1건): - index.html → 세션 목록, runs.html (신설) → workflow archive - conversation.html ?session=<id> deep-link PR #9 workflow integration (2건): - /workflow 백그라운드 WorkflowEngine.run + 진행 메시지 stream 누적 - /binding show <workflow-name[@version]> 인자 지원 테스트 (+17, 685 → 702 passed): - test_plan_mode: write_todos 차단 + blocklist sanity - test_memory: scrub + type 추론 + override - test_skills: project override + find_skill + resolve_skill_sources(pk) - test_subagents: resolve_root_session_id chain + missing fallback - test_budget: session: scope accumulation - test_instructions: governance bootstrap + idempotency - test_api_static: runs.html 신설 + index.html 재구성 게이트: - ruff check / format --check / mypy: PASS (141 source files) - pytest -q --ignore=tests/integration/test_e2e_workflow.py --ignore=tests/integration/test_openrouter_smoke.py: 702 passed Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
115 lines
4.5 KiB
Python
115 lines
4.5 KiB
Python
"""PlanModeMiddleware (v0.3 PR #5) — block write tools when plan-mode is active.
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Claude Code's plan mode lets the user say "design this, don't write code" — the
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agent can read, search, plan via `write_todos`, but cannot mutate the
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filesystem or run shell commands until the user `/approve`s.
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Implementation strategy:
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- A callable ``is_active()`` is passed in at construction time. The REPL flips
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a flag on/off via slash commands; the middleware re-reads on every tool call.
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This avoids rebuilding the agent on every `/plan` / `/approve` toggle.
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- When plan-mode is on and the LLM calls a blocked tool, we return a synthetic
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``ToolMessage(status="error", ...)`` so the LLM sees feedback and can adjust
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("ok, I'll keep planning instead"). We do NOT raise — that would crash the
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turn and the user would lose the partial response.
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Blocked tools (matches Claude Code's ExitPlanMode-required tool set):
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- ``write_file``, ``edit_file`` — fs mutation
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- ``bash`` / ``execute`` / ``run_command`` / ``shell`` — shell exec
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- ``task`` — sub-agent spawn (a sub-agent could bypass plan mode)
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- ``write_todos`` — todos are PART of the plan markdown. Plan-mode
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forbids commits to the agent's TODO list; the user reviews the plan
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first, then /approve unlocks both writes and the TODO list.
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"""
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from __future__ import annotations
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from collections.abc import Callable
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from typing import Any
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from langchain.agents.middleware import AgentMiddleware
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from langchain_core.messages import ToolMessage
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#: Tool names that mutate the filesystem.
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_FS_WRITE_TOOLS: frozenset[str] = frozenset({"write_file", "edit_file"})
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#: Tool names that execute shell commands.
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_SHELL_TOOLS: frozenset[str] = frozenset({"bash", "execute", "run_command", "shell"})
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#: Tool names that spawn sub-agents (which would bypass plan mode in the parent).
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_SUBAGENT_TOOLS: frozenset[str] = frozenset({"task"})
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#: Plan-mode forbids committing to a TODO list — todos are part of the
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#: plan markdown that the user reviews before /approve.
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_PLANNING_TOOLS: frozenset[str] = frozenset({"write_todos"})
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#: Full blocklist applied while plan mode is on.
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BLOCKED_TOOLS_IN_PLAN_MODE: frozenset[str] = (
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_FS_WRITE_TOOLS | _SHELL_TOOLS | _SUBAGENT_TOOLS | _PLANNING_TOOLS
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)
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def _block_message(tool_name: str) -> str:
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return (
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f"Plan-mode is active — `{tool_name}` is blocked. "
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"Keep planning with read_file / glob / grep / write_todos, "
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"or ask the user to `/approve` to leave plan mode."
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)
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class PlanModeMiddleware(AgentMiddleware):
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"""Block mutating tool calls while plan-mode is active.
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Construction takes an ``is_active`` callable that returns the current plan
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mode state. The REPL toggles this state via slash commands without
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rebuilding the agent — the middleware reads it fresh per tool call.
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Tools that are read-only (``read_file``, ``glob``, ``grep``, ``ls``,
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``write_todos``) are allowed in plan mode unconditionally.
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"""
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def __init__(self, *, is_active: Callable[[], bool]) -> None:
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self._is_active = is_active
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async def awrap_tool_call(self, request: Any, handler: Any) -> Any:
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if not self._is_active():
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return await handler(request)
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name = _tool_name(request)
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if name in BLOCKED_TOOLS_IN_PLAN_MODE:
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return ToolMessage(
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content=_block_message(name),
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tool_call_id=_tool_call_id(request),
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name=name,
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status="error",
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)
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return await handler(request)
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def wrap_tool_call(self, request: Any, handler: Any) -> Any:
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# Sync path mirrors the async one for parity (e.g. when the agent is
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# invoked synchronously in unit tests). Real REPL/Web paths are async.
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if not self._is_active():
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return handler(request)
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name = _tool_name(request)
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if name in BLOCKED_TOOLS_IN_PLAN_MODE:
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return ToolMessage(
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content=_block_message(name),
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tool_call_id=_tool_call_id(request),
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name=name,
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status="error",
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)
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return handler(request)
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def _tool_name(request: Any) -> str:
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tool_call = getattr(request, "tool_call", None)
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if isinstance(tool_call, dict):
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return str(tool_call.get("name") or "")
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return str(getattr(request, "name", "") or "")
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def _tool_call_id(request: Any) -> str:
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tool_call = getattr(request, "tool_call", None)
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if isinstance(tool_call, dict):
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return str(tool_call.get("id") or "")
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return str(getattr(request, "id", "") or "")
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